James Green received his B.A.Sc. in Systems Design Engineering from the University of Waterloo in 1998. He then received his M.Sc.(Eng.) and PhD degrees from Queen's University in 2000 and 2005 respectively for research in the areas of computational genomics and proteomics. In 2000-2001, Dr. Green worked at Molecular Mining Corporation, a bioinformatics start-up company in Kingston Ontario, where he helped to develop novel analysis methods for the interpretation of gene expression data. In September 2005, Dr. Green joined the Department of Systems and Computer Engineering at Carleton University where he is now a Full Professor and a Senior Member of the IEEE. His research focuses on machine learning challenges in biomedical informatics, particularly in the presence of class imbalance and the prediction of rare events. Current research projects include the prediction of protein structure, function, and interaction; the use of supervised and semi-supervised machine learning for the identification of microRNA in unique species; unobtrusive and non-contact neonatal patient monitoring; and the acceleration of scientific computing using parallel computing. Dr. Green has published over 100 peer-reviewed manuscripts in journals and conference proceedings. His research is supported by grants from the Natural Sciences and Engineering Research Council (NSERC), the Canadian Institutes of Health Research (CIHR), Ontario Centres of Excellence (OCE), IBM, MITACS, the Ontario Research Fund (ORF), and the Canadian Foundation for Innovation (CFI).
In addition to research, Dr. Green puts considerable emphasis on teaching, and this has been recognized with three teaching awards. He currently enjoys teaching in the areas of Pattern Classification and Experiment Design, Biomedical Engineering, and Machine Learning. Outside of work, he enjoys running, geocaching, and swimming with his three sons.